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Neuroimage. 2016 Jan 1;124(Pt B):1242-4. doi: 10.1016/j.neuroimage.2015.04.016. Epub 2015 Apr 11.

NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain.

Author information

1
Department of Psychology, Stanford University, Stanford, CA, USA; Max Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Electronic address: krzysztof.gorgolewski@gmail.com.
2
INRIA Parietal, Neurospin bat 145, CEA, Saclay, 91191 Gif sur Yvette, France.
3
InfoCortex UG, Frankfurt am Main, Germany.
4
Department of Psychology, Stanford University, Stanford, CA, USA; Program in Biomedical Informatics, Stanford University, Stanford, CA, USA.
5
McGovern Institute for Brain Research, Massachusetts Institute of Technology, MA, USA.
6
Warwick Manufacturing Group, University of Warwick, Coventry CV4 7AL, UK.
7
Department of Statistics, University of Warwick, Coventry CV4 7AL, UK.
8
Helen Wills Neuroscience Institute, University of California at Berkeley, CA, USA.
9
Department of Psychology, University of Texas at Austin, TX, USA.
10
Max Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
11
Department of Psychology, Stanford University, Stanford, CA, USA.

Abstract

NeuroVault.org is dedicated to storing outputs of analyses in the form of statistical maps, parcellations and atlases, a unique strategy that contrasts with most neuroimaging repositories that store raw acquisition data or stereotaxic coordinates. Such maps are indispensable for performing meta-analyses, validating novel methodology, and deciding on precise outlines for regions of interest (ROIs). NeuroVault is open to maps derived from both healthy and clinical populations, as well as from various imaging modalities (sMRI, fMRI, EEG, MEG, PET, etc.). The repository uses modern web technologies such as interactive web-based visualization, cognitive decoding, and comparison with other maps to provide researchers with efficient, intuitive tools to improve the understanding of their results. Each dataset and map is assigned a permanent Universal Resource Locator (URL), and all of the data is accessible through a REST Application Programming Interface (API). Additionally, the repository supports the NIDM-Results standard and has the ability to parse outputs from popular FSL and SPM software packages to automatically extract relevant metadata. This ease of use, modern web-integration, and pioneering functionality holds promise to improve the workflow for making inferences about and sharing whole-brain statistical maps.

PMID:
25869863
PMCID:
PMC4806527
DOI:
10.1016/j.neuroimage.2015.04.016
[Indexed for MEDLINE]
Free PMC Article

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